Demo Data from EDBT 2026 / reviewers in the wild / expert
Mike Kamrad
dblp:66/1577 · also J. Michael Kamrad II
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 44% Parallel and multicore computing · 44% Embedded and real-time systems · 13% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems
language design |
0.0 | 1 | 1989 | Ada Program Partitioning Language: A Notation for Distributing Ada Programs · IEEE Trans. Software Eng. 1989 |
Distributed systems
distributed programming |
0.0 | 1 | 1989 | Ada Program Partitioning Language: A Notation for Distributing Ada Programs · IEEE Trans. Software Eng. 1989 |
Parallel and multicore computing
software partitioning |
0.0 | 1 | 1989 | Ada Program Partitioning Language: A Notation for Distributing Ada Programs · IEEE Trans. Software Eng. 1989 |
Embedded and real-time systems
distributed real-time systems |
0.0 | 1 | 1989 | Ada Program Partitioning Language: A Notation for Distributing Ada Programs · IEEE Trans. Software Eng. 1989 |
Methods — techniques the papers use, named apart from their topics
runtime system · 0.0language design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Ada Program Partitioning Language: A Notation for Distributing Ada ProgramsabstractAda Program Partitioning Language (APPL) has been designed as part of Honeywell's Distributed Ada project. The goal of the project is to develop an approach for reducing the complexity of building distributed applications in Ada. In the proposed approach, an application is written as a single Ada program using the full capabilities of the Ada language. It is not necessary to factor the underlying hardware configuration into the program design. Once the program has been completed and tested in the host development environment, it is partitioned into fragments and mapped onto the distributed hardware. The partitioning and mapping are expressed in APPL and do not require changes to the Ada source. The main thrusts of the project include the design of APPL and the development of language translation tools and the run-time system to support Ada and APPL for a distributed target. The authors present an overview of APPL, the goals considered in the design, and issues that impact its implementation.> Rakesh Jha, Mike Kamrad, Dennis T. Cornhill |
IEEE Trans. Software Eng. | 2 |